Reference : A shift for cognitive neuroscience: from model-based data to data-driven models  
Diverse speeches and writings : Speech/Talk
Social & behavioral sciences, psychology : Neurosciences & behavior
http://hdl.handle.net/2268/226252
A shift for cognitive neuroscience: from model-based data to data-driven models  
English
Genon, Sarah mailto [Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn. >]
17-May-2018
Sarah
National
Invited talk
Eberhard Karls Universität
Tübingen
Germany
[en] The brain has a complex organization portraying multiple topographies at different levels and along different axes. Following the developments of neuroimaging technics in the last decades, different approaches have been developed to study brain organization based on neuroimaging features. Furthermore, many concepts from the psychological sciences have been mapped to the brain. Thousands of fMRI and PET studies show the neural correlates of various concepts derived from the study of human behavior. An overview of those model-based data reveals a many-to-many mapping on both brain-behavior directions: one single brain region or network can be related to many behavioral concepts and conversely, one single behavioral concept can be assigned to many brain regions/networks. The aggregation of these behavioral model-based data can now be harnessed to switch the perspective. By using quantitative approaches on available neuroimaging data, we can derive “behavioural profiling” of brain regions and networks. Such data-driven approaches can be used, in turn, to generate a brain-based model of cognitive information processing.
http://hdl.handle.net/2268/226252

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Restricted access
GenonS_May2018.pdfAuthor postprint10.51 MBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.